| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 54 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.056 | | effectiveRatio | 0.037 | |
| 73.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1510 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "very" | | 3 | "really" |
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| 60.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 56.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1510 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "methodical" | | 3 | "silence" | | 4 | "intensity" | | 5 | "weight" | | 6 | "reminder" | | 7 | "chill" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1513 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1093 | | uniqueNames | 13 | | maxNameDensity | 1.1 | | worstName | "Marcus" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Marcus" | | discoveredNames | | Raven | 3 | | Nest | 3 | | Thursday | 1 | | Silas | 8 | | Rory | 10 | | London | 5 | | Marcus | 12 | | Holloway | 1 | | University | 1 | | Evan | 1 | | Cardiff | 2 | | Swan | 1 | | Underground | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Marcus" | | 5 | "Holloway" | | 6 | "Evan" |
| | places | | 0 | "London" | | 1 | "University" | | 2 | "Cardiff" | | 3 | "Swan" |
| | globalScore | 0.951 | | windowScore | 0.833 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it hurt to maintain" | | 1 | "seemed achievable when spoken in whispers between dusty law books" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1513 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 28.55 | | std | 18.77 | | cv | 0.658 | | sampleLengths | | 0 | 71 | | 1 | 68 | | 2 | 25 | | 3 | 36 | | 4 | 30 | | 5 | 13 | | 6 | 3 | | 7 | 76 | | 8 | 18 | | 9 | 46 | | 10 | 13 | | 11 | 45 | | 12 | 42 | | 13 | 24 | | 14 | 35 | | 15 | 8 | | 16 | 44 | | 17 | 30 | | 18 | 41 | | 19 | 29 | | 20 | 5 | | 21 | 27 | | 22 | 15 | | 23 | 21 | | 24 | 38 | | 25 | 32 | | 26 | 11 | | 27 | 36 | | 28 | 5 | | 29 | 70 | | 30 | 10 | | 31 | 42 | | 32 | 5 | | 33 | 45 | | 34 | 36 | | 35 | 26 | | 36 | 48 | | 37 | 22 | | 38 | 14 | | 39 | 44 | | 40 | 1 | | 41 | 28 | | 42 | 50 | | 43 | 2 | | 44 | 20 | | 45 | 30 | | 46 | 13 | | 47 | 9 | | 48 | 24 | | 49 | 46 |
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| 82.48% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 77 | | matches | | 0 | "being asked" | | 1 | "been weathered" | | 2 | "been replaced" | | 3 | "being tailored" | | 4 | "been laid" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 197 | | matches | | 0 | "was still watching" | | 1 | "wasn't moving" |
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| 65.64% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 111 | | ratio | 0.027 | | matches | | 0 | "But perhaps that was its own kind of strength – surviving despite the cracks." | | 1 | "But something in Marcus's expression stopped her – a recognition of shared damage, of dreams abandoned rather than lost." | | 2 | "The weight of three years compressed into this moment – all the conversations they'd never had, the letters never written, the chances for closure that had withered from neglect." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1093 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03293687099725526 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.012808783165599268 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 13.63 | | std | 9.1 | | cv | 0.667 | | sampleLengths | | 0 | 26 | | 1 | 16 | | 2 | 29 | | 3 | 29 | | 4 | 21 | | 5 | 18 | | 6 | 25 | | 7 | 20 | | 8 | 16 | | 9 | 15 | | 10 | 8 | | 11 | 7 | | 12 | 13 | | 13 | 3 | | 14 | 5 | | 15 | 21 | | 16 | 15 | | 17 | 18 | | 18 | 17 | | 19 | 13 | | 20 | 5 | | 21 | 2 | | 22 | 2 | | 23 | 16 | | 24 | 26 | | 25 | 13 | | 26 | 33 | | 27 | 12 | | 28 | 40 | | 29 | 2 | | 30 | 20 | | 31 | 4 | | 32 | 22 | | 33 | 10 | | 34 | 3 | | 35 | 8 | | 36 | 13 | | 37 | 21 | | 38 | 3 | | 39 | 7 | | 40 | 13 | | 41 | 17 | | 42 | 10 | | 43 | 31 | | 44 | 2 | | 45 | 21 | | 46 | 2 | | 47 | 4 | | 48 | 5 | | 49 | 6 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.43243243243243246 | | totalSentences | 111 | | uniqueOpeners | 48 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | | ratio | 0.014 | |
| 80.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 69 | | matches | | 0 | "She shook droplets from her" | | 1 | "She spotted him behind the" | | 2 | "His hazel eyes found hers" | | 3 | "he asked as she approached," | | 4 | "His silver signet ring clinked" | | 5 | "She turned slowly, whiskey forgotten." | | 6 | "His dark hair, once carefully" | | 7 | "He gestured toward the empty" | | 8 | "He moved closer, and she" | | 9 | "She wanted to say yes," | | 10 | "She gestured to the stool" | | 11 | "He'd lost weight." | | 12 | "She touched her crescent-shaped scar" | | 13 | "His laugh held no humor" | | 14 | "His presence was a reminder" | | 15 | "She'd sat in her car" | | 16 | "His smile was bitter" | | 17 | "She almost laughed." | | 18 | "He looked around The Raven's" | | 19 | "He took a careful sip" |
| | ratio | 0.348 | |
| 39.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 69 | | matches | | 0 | "Rory pushed through the heavy" | | 1 | "The green neon sign buzzed" | | 2 | "She shook droplets from her" | | 3 | "The bar was quieter than" | | 4 | "She spotted him behind the" | | 5 | "His hazel eyes found hers" | | 6 | "he asked as she approached," | | 7 | "Rory slumped onto a barstool," | | 8 | "Silas set down a whiskey" | | 9 | "His silver signet ring clinked" | | 10 | "She turned slowly, whiskey forgotten." | | 11 | "The man standing three feet" | | 12 | "His dark hair, once carefully" | | 13 | "The easy smile she remembered" | | 14 | "The name felt foreign on" | | 15 | "Pre-law seminars where they'd sit" | | 16 | "The boy who'd helped her" | | 17 | "The boy who'd stood her" | | 18 | "He gestured toward the empty" | | 19 | "Rory tried to reconcile this" |
| | ratio | 0.841 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 69 | | matches | | 0 | "Before Rory could respond, a" | | 1 | "If he wasn't moving to" | | 2 | "Before everything fell apart." | | 3 | "If only he knew about" |
| | ratio | 0.058 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 6 | | matches | | 0 | "She shook droplets from her black hair and stepped into the warmth, breathing in the scent of aged wood and whiskey that had become home over the past months." | | 1 | "She spotted him behind the bar, polishing a glass with the methodical precision of a man who'd spent years cleaning weapons." | | 2 | "His dark hair, once carefully styled, hung limp around a face that had learned too much about disappointment." | | 3 | "Rory tried to reconcile this information with the Marcus she'd known, the one who'd sworn he'd never touch a computer if he could help it, who'd wanted to pract…" | | 4 | "He looked around The Raven's Nest, taking in the weathered photographs and the regulars who minded their own business with the dedication of people who had secr…" | | 5 | "Rory glanced around The Raven's Nest, at Silas who'd given her shelter without questions, at the life she'd built from delivery routes and small kindnesses." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Marcus continued (continue)" | | 1 | "she admitted (admit)" |
| | dialogueSentences | 54 | | tagDensity | 0.074 | | leniency | 0.148 | | rawRatio | 0.5 | | effectiveRatio | 0.074 | |